T2Test | R Documentation |
Performs the Tamhane T2 test for pairwise comparisons after an ANOVA model, assuming unequal variances and/or unequal sample sizes. This test is appropriate when the assumption of homogeneity of variances is violated, such as when Levene's test or Bartlett's test is significant.
T2Test(modelo, alpha = 0.05)
modelo |
An object of class |
alpha |
Significance level (default is 0.05). |
The test uses a modified t-test with Welch-Satterthwaite degrees of freedom and a conservative approach to control for multiple comparisons.
Advantages: - Controls Type I error under heteroscedasticity. - No assumption of equal sample sizes.
Disadvantages: - Conservative; may reduce power. - Not as powerful as Games-Howell in some contexts.
An object of class "tamhanet2"
and "comparaciones"
, containing:
Resultados
: A data frame with pairwise comparisons, mean differences,
t-values, degrees of freedom, p-values, and significance codes.
Promedios
: A named numeric vector of group means.
Orden_Medias
: A character vector with group names ordered from highest to lowest mean.
Metodo
: A character string indicating the method used ("Tamhane T2").
Tamhane, A. C. (1977). "Multiple comparisons in model I one-way ANOVA with unequal variances." Communications in Statistics - Theory and Methods, 6(1), 15–32. <https://doi.org/10.1080/03610927708827524>
data(d_e, package = "Analitica")
mod <- aov(Sueldo_actual ~ as.factor(labor), data = d_e)
resultado <- T2Test(mod)
summary(resultado)
plot(resultado)
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